Package index • arsenal

tableby and paired

tableby(): Summary Statistics of a Set of Independent Variables by a Categorical Variable
paired(): Summary Statistics of a Set of Independent Variables Paired Across Two Timepoints
tableby.control(): Control settings for tableby function
paired.control(): Control settings for paired function
arsenal_sum() arsenal_min() arsenal_max() arsenal_mean() arsenal_sd() arsenal_var() meansd() meanse() meanpmsd() meanpmse() meanCI() medianrange() medianmad() arsenal_median() arsenal_range() gmean() gsd() gmeansd() gmeanCI() Nsigntest() Nevents() medSurv() medSurvCI() medSurvQuant() NeventsSurv() NriskSurv() Nrisk() medTime() q1q3() medianq1q3() iqr() Nmiss() Nmisspct() Nmiss2() Nmisspct2() N() Npct() Nrowpct() count() countpct() pct() countN() countrowpct() rowpct() countcellpct() binomCI() rowbinomCI(): tableby Summary Statistics Functions
tbfmt() as.tbstat() as.tbstat_multirow(): Internal tableby functions
summary(<tableby>) as.data.frame(<summary.tableby>): The summary method for a tableby object
as.data.frame(<tableby>): as.data.frame.tableby
is.tableby() is.summary.tableby() modpval.tableby() tests() na.tableby() xtfrm(<tableby>) sort(<tableby>) Ops(<tableby>) head(<tableby>) tail(<tableby>): Helper functions for tableby
na.paired(): Helper functions for paired

modelsum(): Fit models over each of a set of independent variables with a response variable
modelsum.control(): Control settings for modelsum function
survival() ordinal() negbin() clog() relrisk(): Family functions for modelsum
summary(<modelsum>) as.data.frame(<summary.modelsum>): Summarize a modelsum object.
as.data.frame(<modelsum>): as.data.frame.modelsum
is.modelsum() is.summary.modelsum() na.modelsum(): Helper functions for modelsum

freqlist(): freqlist
freq.control(): Control settings for freqlist function
as.data.frame(<freqlist>): as.data.frame.freqlist
summary(<freqlist>) as.data.frame(<summary.freqlist>): summary.freqlist
is.freqlist() is.summary.freqlist() head(<summary.freqlist>) tail(<summary.freqlist>) sort(<freqlist>): Helper functions for freqlist

comparedf() print(<comparedf>): Compare two data.frames and report differences
comparedf.control(): Control settings for comparedf function
tol.NA() tol.num.absolute() tol.num.percent() tol.num.pct() tol.factor.none() tol.factor.levels() tol.factor.labels() tol.char.both() tol.char.case() tol.char.trim() tol.char.none() tol.date.absolute() tol.logical.none() tol.other.none(): comparedf tolerances
summary(<comparedf>) print(<summary.comparedf>): The summary method for a comparedf object
n.diff.obs() n.diffs() diffs(): Extract differences

write2(): write2
verbatim() code.chunk(): Helper functions for write2
write2word() write2pdf() write2html(): write2word, write2html, write2pdf
yaml() print(<yaml>) c(<yaml>) is.yaml(): Include a YAML header in write2

labels(<data.frame>) labels(<keep_labels>) `labels<-`() set_labels() set_attr(): Labels
keep.labels() `[`(<keep_labels>) `[<-`(<keep_labels>) loosen.labels(): Keep Labels

formulize(): formulize
`%nin%`: Not in
allNA() includeNA(): Some functions to handle NAs
mdy.Date() Date.mdy() is.Date(): Convert numeric dates to Date object, and vice versa
padjust(): Adjust P-values for Multiple Comparisons
smart.split() replace2(): Internal Functions
selectall() as.selectall() as.matrix(<selectall>) `[`(<selectall>) is.na(<selectall>) is.selectall(): Make a column for "select all" input

has_strata() `[`(<arsenal_table>) `[`(<tableby>) labels(<arsenal_table>) `labels<-`(<arsenal_table>) print(<arsenal_table>) merge(<arsenal_table>) merge(<freqlist>) print(<summary.arsenal_table>): arsenal tables with common structure

mockstudy muck_up_mockstudy(): Mock study data for examples
arsenal arsenal-package: An Arsenal of 'R' Functions for Large-Scale Statistical Summaries
arsenal-deprecated: Deprecated functions in arsenal
arsenal-defunct: Defunct functions in arsenal